EEGLAB 22.1

EEGLAB is an open-source MATLAB toolbox for processing, analyzing, and visualizing EEG and related electrophysiological data. Developed and maintained by the Swartz Center for Computational Neuroscience (SCCN) at the University of California San Diego, it offers both an interactive graphical interface and a comprehensive scripting API. EEGLAB supports the full analysis workflow—from data import and preprocessing to advanced methods such as independent component analysis (ICA), event-related potential (ERP) analysis, time-frequency decomposition, and group-level statistics—along with rich, interactive visualizations.

Key features:

• User-friendly GUI plus MATLAB scripting for reproducible workflows
• Preprocessing tools: filtering, re-referencing, bad channel detection and interpolation, epoching, and artifact reduction
• ICA and component labeling to separate neural signals from artifacts (e.g., eye blinks, muscle activity)
• ERP, spectral, and time-frequency analyses at single-trial and averaged levels
• STUDY framework for multi-subject and condition-based analyses with robust statistics
• Broad file format support (e.g., EDF, BDF, BrainVision) and native EEGLAB .set files
• Large plugin ecosystem for source localization, automated artifact removal, connectivity, machine learning, and more
• Extensive documentation, tutorials, and active community support

EEGLAB is cross-platform (Windows, macOS, Linux) and designed primarily for MATLAB, with partial support in GNU Octave. It is released under a GNU General Public License (GPL). Researchers and practitioners use EEGLAB widely in cognitive, clinical, and translational neuroscience, as well as in mobile and BCI applications.

EEGLAB is developed by SCCN. The most popular versions of this product among our users are: 13.2, 15.0 and 22.1. The name of the program executable file is EEGLAB.exe.